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Admissions 2026–27 are now open across all programmesAutonomous · NAAC & NBA Accredited · Affiliated to JNTUA80%+ placements · 100+ recruiters every seasonCall the Admissions Office — +91 93905 05457Admissions 2026–27 are now open across all programmesAutonomous · NAAC & NBA Accredited · Affiliated to JNTUA80%+ placements · 100+ recruiters every seasonCall the Admissions Office — +91 93905 05457
Computer Science laboratory
Postgraduate · Est. 2011

M.Tech — Computer Science & Engineering

Research-grade depth in computing.

M.Tech CSE

Programme

24 seats

Sanctioned Intake

Coursework + dissertation

Mode

R&D · academia · industry

Outcome

About the Department

About the Department

The M.Tech in Computer Science & Engineering offers advanced coursework and a research dissertation for graduates seeking specialisation or an academic and R&D career.

Students engage with current research areas including data science, security, distributed systems and intelligent computing.

The programme nurtures publications, patents and pathways to doctoral study.

Vision

To advance research and advanced practice in Computer Science and Engineering.

Mission

  1. 01Provide advanced study in algorithms, systems and emerging computing areas.
  2. 02Develop independent research and publication capability.
  3. 03Bridge academia and industry through applied dissertation work.

Programmes Offered

  • M.Tech — Computer Science & Engineering24 seats

Total sanctioned intake: 24

Outcomes Framework

PEO's, PSO's & PO's

Program Educational Objectives (PEOs)

PEO1

Attain advanced competency in computer science enabling research and senior technical roles. (Professional Competency)

PEO2

Excel as researchers, academicians or senior engineers in industry. (Successful Career Goals)

PEO3

Contribute to the discipline through publications, patents and lifelong learning. (Continuing Education and Contribution to Society)

Program Specific Outcomes (PSOs)

PSO1

Conduct independent research and apply advanced computing concepts to solve complex problems.

PSO2

Design and evaluate scalable, intelligent and secure computing systems.

Program Outcomes (POs)

PO1

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Curriculum

Regulation and Syllabus

A two-year programme of advanced coursework and a research dissertation under the JNTUA postgraduate regulation, periodically revised by the Curriculum Development Cell.

Regulation documents and the detailed semester-wise syllabus are available from the department office and the college Exam Portal.

Exam Portal & Syllabus →
People

Faculty Profile

Dr. V. Janardhan Babu

Programme Coordinator (Professor & Head, CSE)

Ph.D

Dr. T. Sunil Kumar Reddy

Professor (Principal)

Ph.D

Dr. D. Nagaraju

Professor

Ph.D

Dr. B. Ramaganesh

Associate Professor

Ph.D

Dr. N. Srinivas Rao

Associate Professor

Ph.D

Dr. G. B. Hima Bindu

Associate Professor

Ph.D

Resources

Course Material

Subject-wise lecture notes, lesson plans, question banks, lab manuals and model papers are curated by the faculty and shared through the department's learning portal and class repositories.

Infrastructure

Laboratory Facilities

Advanced Computing Lab

24 systems

High-performance workstations for advanced algorithms, data science and distributed-systems experiments.

Research & Dissertation Lab

12 systems

Dedicated research stations with simulation, modelling and publication tooling.

R & D

Research Facilities

The programme is research-intensive, with dissertations aligned to current computing-research areas and supported by the institutional R&D Cell.

Research Thrust Areas

Data Science & AnalyticsInformation SecurityDistributed & Cloud SystemsIntelligent ComputingHigh-Performance Computing
Student Support

Mentor Details

Each scholar works closely with a faculty research guide who mentors coursework, literature review and dissertation through to publication.

Engagement

Departmental Activities

  • Research seminars and journal clubs
  • Workshops on research methodology and tools
  • Conference and paper-presentation participation
  • Dissertation reviews and progress seminars
Affiliations

Professional Bodies

IEEECSIACM (membership encouraged)
Knowledge

Department Library

A dedicated departmental library supplements the central library with titles, reference volumes, previous question papers, project reports and subscriptions to technical journals for ready student and faculty access.

Where Graduates Go
Research EngineerSenior Software EngineerAcademicianData Scientist

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